What it is
A reusable audit engine for testing whether model conclusions remain informative under declared pressure.
Governed Invariance Logic
A reusable audit engine for testing whether model conclusions remain informative under declared pressure.
Good predictive scores can conceal unstable rankings, leakage and fragile descriptor stories.
Negative controls, perturbation ladders, repeats, holdouts and claim ceilings turn model behaviour into inspectable evidence.
Direct reproduction, locked Materials Project shear and bulk repeats, and a controlled scale expansion are recorded.
Runnable audit routes and evidence-bundle tooling.
Helps teams decide which conclusions deserve further simulation, testing or investment.